| Full text | |
| Author(s): |
Oroya, Luis A.
;
Cortez, Juan Carlos
;
Terada, Lucas Zenichi
;
Silva, Jessica A. A.
;
Rider, Marcos J.
Total Authors: 5
|
| Document type: | Journal article |
| Source: | INTERNATIONAL JOURNAL OF HYDROGEN ENERGY; v. 133, p. 12-pg., 2025-05-01. |
| Abstract | |
As efforts to reduce carbon emissions increase, green hydrogen from sources like wind (WD) and photovoltaic (PV) power is a promising solution for industrial decarbonization. However, the variability of renewable energy sources (RES) challenges the planning and operation of green hydrogen plants. To address these challenges, this paper proposes a novel two-stage extreme distributionally robust optimization (X-DRO) model for sizing distributed energy resources efficiently for green hydrogen production and selling. The proposed model minimizes the total capital (CAPEX) and operating expenditures (OPEX) while ensuring the robustness of performance under an uncertain renewable energy supply. The methodology includes selecting representative and extreme scenarios to input into the model, representing the variability of RES. In the first stage, capacity planning decisions, including the sizing of PV and WD units, battery energy storage systems (BESS), hydrogen storage tanks (HSTs), and electrolyzers (ELs), are considered. The second stage addresses the operating decisions concerning power exchange with the grid, hydrogen production, and storage under worst-case scenario probabilities of RES generation. The column-and-constraint generation (C&CG) algorithm is applied to solve the X-DRO model. Simulations show that the proposed model balances economic efficiency and robustness compared to robust optimization (RO) and stochastic optimization (SO) models. A comparison between the X-DRO and DRO models highlights the importance of considering extreme cases for resilient planning. (AU) | |
| FAPESP's process: | 21/11380-5 - CPTEn - São Paulo Center for the Study of Energy Transition |
| Grantee: | Luiz Carlos Pereira da Silva |
| Support Opportunities: | Research Grants - Science Centers for Development |
| FAPESP's process: | 24/19222-8 - Planning and Operation of Green Hydrogen Production Systems: A Robust Approach |
| Grantee: | Luis Alexsander Oroya Alvarado |
| Support Opportunities: | Scholarships in Brazil - Doctorate |
| FAPESP's process: | 23/05708-3 - Reinforcement Learning for Electric Vehicle Applications in Electric Power Systems |
| Grantee: | Lucas Zenichi Terada |
| Support Opportunities: | Scholarships in Brazil - Doctorate |